The Effect of Training Strategies on the Performance of Trainees in the Kingdom of Saudi Arabia
Bibliographic record
Abstract
Staff training is one of the common concerns in thought and management application of modern management in the first quarter of the last century The awareness of the importance of the relationship between the training staff and their ability to invent new ways of doing business in these institutions is still limited As noted the trainees of the National Water Company NWC are inefficient in achieving customer service maintaining the facilities and repairing faults Thus this study aimed at identifying the effect of training strategies on the performance of trainees in NWC in Mecca city in the Kingdom of Saudi Arabia A total of 100 closed ended questionnaires were randomly distributed to employees such as managers heads of departments technicians and workers in NWC Of these only 85 questionnaires that were duly completed and analysed yielding a response rate of 85 Data were analysed statistically using SPSS software Version 19 0 Findings in Mecca show that almost 50 of the development of human resources was explained by the training strategy The two dimensions that were successfully predicted in the development of human resource were trainers and administrative and supervisory services The study comes out with several recommendations One of these recommendations is that NWC should obtain trainers from outside the company to improve the trainees expertise
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".